jurnal teknik informatika dan sistem informasi
Vol 5 No 3 (2019): JuTISI

Pengenalan Alfabet American Sign Language Menggunakan K-Nearest Neighbors Dengan Ekstraksi Fitur Histogram Of Oriented Gradients

Al Rivan, Muhammad Ezar (Unknown)
Irsyad, Hafiz (Unknown)
Kevin, Kevin (Unknown)
Narta, Arta Tri (Unknown)



Article Info

Publish Date
26 Jan 2020

Abstract

Sign Language use to communicate to people with dissabilities. American Sign Language (ASL) one of popular sign language. Histogram of Oriented Gradient (HOG) can be use as feature extraction. Then feature stored in database. K-Nearest Neighbor use to measure distance between feature train and feature test. There are three distance use in this paper consist of Euclidean Distance, Manhattan Distance and Chebychev Distance. The best result are 0,99 when using Euclidean Distance and Manhattan Distance with k=3 dan k=5

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Journal Info

Abbrev

jutisi

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknik Informatika dan Sistem Informasi (JuTISI) menerima topik-topik sebagai berikut, namun tidak terbatas pada : Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Datawarehouse & Datamining • Decision Support System • ...